Data Science/Digitalisation Graduate Scheme Burnaston Burnaston 2024

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DEADLINE 11th December 2023
Burnaston
£34,756

The Automotive Industry is changing more rapidly than ever, and Toyota is continually investing in new technologies to improve manufacturing processes.

This is a unique opportunity to join the Quality Assurance Division as a Digital Data Scientist, embracing our philosophy of Kaizen via Digital Transformation.

Right now, Digitalisation is providing more and more opportunities to accelerate business performance, explore new opportunities and leverage intelligent insights.

You time here

Here at Toyota we develop members fit for both now and the future, focusing on personal and professional development. Over the two-year scheme, you'll get to see the breadth of our business, receiving responsibility that will stretch your problem-solving skills and introduce you to people at all levels.

It’s a challenging scheme, consistently testing your abilities, but equally you’ll receive plenty of support from your mentor, managers, and colleagues. You will be working on valuable projects within our Quality Assurance Division.

Previous Trainee Engineer (Graduate) projects 

  • Develop Digitalisation Strategies such as Inter-Connected Digital Equipment and Artificial Intelligence (including Computer Vision and Generative AI)
  • Develop Data Visualisation and Reporting Techniques
  • Using Advanced Digital Data Analytics to data driven insights
  • Collaborate with our other departments as well as Partner Plants in Europe and Globally (flexibility to travel periodically)

All graduates will take part in six weeks of line training. This will mean that for those six weeks you will work on an area where we build the cars down on the shop floor.

Although tough, this experience is extremely rewarding and interesting and gives you a real hands-on insight into what Toyota Manufacturing is all about. We believe this experience is crucial for your personal development and rather unique to our company.  

We place great emphasis on learning by doing - usually through structured, on-the-job training. Our graduate programme is assessed and designed to help you reach the standard needed to move into an engineer position at the end of the 2-year programme.

What we look for

Alongside having a consistently strong academic record, with a minimum 2:1 predicted degree result*, we are looking for people who actively want to learn from others and are motivated to take on new challenges with a positive mindset. We’re also looking for strong communication, collaboration and project management skills.  

We believe that there's always a better way, therefore if you share our values and thrive on analysing problems from different angles to develop solutions, you could go a long way with us. Similarly, taking a practical approach to your work is important – you will need to be as comfortable on the shop floor as you are in the office. Ideally successful candidates should have familiarity with Microsoft 365 applications.  This could stretch to Microsoft Power Platform (including Power BI, Power Apps and Power Automate). 

*BEng/MEng or computer science degree required.  Additional Studies in ‘Data Science’ would also be advantageous but not essential.

Additional requirement

Right to live and work in the UK & ideally UK driving license.

DEADLINE 11th December 2023